Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges Article Swipe
Daniel T. Wagner
,
Luke Tilmans
,
Kevin A. Peng
,
Marilyn Niedermeier
,
Matt Rohl
,
Sean G. Ryan
,
Divya Yadav
,
Noah Takacs
,
Krystle Garcia-Fraley
,
Mensur Koso
,
Engin Dikici
,
Luciano M. Prevedello
,
Xuan V. Nguyen
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics13162670
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/diagnostics13162670
There is an expanding body of literature that describes the application of deep learning and other machine learning and artificial intelligence methods with potential relevance to neuroradiology practice. In this article, we performed a literature review to identify recent developments on the topics of artificial intelligence in neuroradiology, with particular emphasis on large datasets and large-scale algorithm assessments, such as those used in imaging AI competition challenges. Numerous applications relevant to ischemic stroke, intracranial hemorrhage, brain tumors, demyelinating disease, and neurodegenerative/neurocognitive disorders were discussed. The potential applications of these methods to spinal fractures, scoliosis grading, head and neck oncology, and vascular imaging were also reviewed. The AI applications examined perform a variety of tasks, including localization, segmentation, longitudinal monitoring, diagnostic classification, and prognostication. While research on this topic is ongoing, several applications have been cleared for clinical use and have the potential to augment the accuracy or efficiency of neuroradiologists.
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Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/diagnostics13162670
- https://www.mdpi.com/2075-4418/13/16/2670/pdf?version=1691994705
- OA Status
- gold
- Cited By
- 19
- References
- 176
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4385795844
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4385795844Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/diagnostics13162670Digital Object Identifier
- Title
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Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition ChallengesWork title
- Type
-
reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-14Full publication date if available
- Authors
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Daniel T. Wagner, Luke Tilmans, Kevin A. Peng, Marilyn Niedermeier, Matt Rohl, Sean G. Ryan, Divya Yadav, Noah Takacs, Krystle Garcia-Fraley, Mensur Koso, Engin Dikici, Luciano M. Prevedello, Xuan V. NguyenList of authors in order
- Landing page
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https://doi.org/10.3390/diagnostics13162670Publisher landing page
- PDF URL
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https://www.mdpi.com/2075-4418/13/16/2670/pdf?version=1691994705Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2075-4418/13/16/2670/pdf?version=1691994705Direct OA link when available
- Concepts
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Neuroradiology, Neuroimaging, Neurocognitive, Medical physics, Artificial intelligence, Medicine, Interventional neuroradiology, Neuroinformatics, Computer science, Machine learning, Data science, Radiology, Neurology, Cognition, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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19Total citation count in OpenAlex
- Citations by year (recent)
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2025: 9, 2024: 7, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
176Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.datasets | 53 |
| abstract_inverted_index.disease, | 78 |
| abstract_inverted_index.emphasis | 50 |
| abstract_inverted_index.examined | 108 |
| abstract_inverted_index.grading, | 94 |
| abstract_inverted_index.identify | 37 |
| abstract_inverted_index.ischemic | 71 |
| abstract_inverted_index.learning | 13, 17 |
| abstract_inverted_index.ongoing, | 129 |
| abstract_inverted_index.relevant | 69 |
| abstract_inverted_index.research | 124 |
| abstract_inverted_index.vascular | 100 |
| abstract_inverted_index.algorithm | 56 |
| abstract_inverted_index.describes | 8 |
| abstract_inverted_index.disorders | 81 |
| abstract_inverted_index.expanding | 3 |
| abstract_inverted_index.including | 114 |
| abstract_inverted_index.oncology, | 98 |
| abstract_inverted_index.performed | 32 |
| abstract_inverted_index.potential | 23, 85, 141 |
| abstract_inverted_index.practice. | 27 |
| abstract_inverted_index.relevance | 24 |
| abstract_inverted_index.reviewed. | 104 |
| abstract_inverted_index.scoliosis | 93 |
| abstract_inverted_index.artificial | 19, 44 |
| abstract_inverted_index.diagnostic | 119 |
| abstract_inverted_index.discussed. | 83 |
| abstract_inverted_index.efficiency | 147 |
| abstract_inverted_index.fractures, | 92 |
| abstract_inverted_index.literature | 6, 34 |
| abstract_inverted_index.particular | 49 |
| abstract_inverted_index.application | 10 |
| abstract_inverted_index.challenges. | 66 |
| abstract_inverted_index.competition | 65 |
| abstract_inverted_index.hemorrhage, | 74 |
| abstract_inverted_index.large-scale | 55 |
| abstract_inverted_index.monitoring, | 118 |
| abstract_inverted_index.applications | 68, 86, 107, 131 |
| abstract_inverted_index.assessments, | 57 |
| abstract_inverted_index.developments | 39 |
| abstract_inverted_index.intelligence | 20, 45 |
| abstract_inverted_index.intracranial | 73 |
| abstract_inverted_index.longitudinal | 117 |
| abstract_inverted_index.demyelinating | 77 |
| abstract_inverted_index.localization, | 115 |
| abstract_inverted_index.segmentation, | 116 |
| abstract_inverted_index.neuroradiology | 26 |
| abstract_inverted_index.classification, | 120 |
| abstract_inverted_index.neuroradiology, | 47 |
| abstract_inverted_index.prognostication. | 122 |
| abstract_inverted_index.neuroradiologists. | 149 |
| abstract_inverted_index.neurodegenerative/neurocognitive | 80 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5027544134 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I2802841970 |
| citation_normalized_percentile.value | 0.89181986 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |